Application of experimental-based modeling to laser cladding

Journal of Laser Applications

Volumn 14, Issue 3, 2002, Pages 165-173

  Toyserkani, Ehsan ^a   Khajepour, Amir ^a   Corbin, Steve ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Elman recurrent neural network; Experimental based modeling; Hammerstein Wiener; Laser cladding

Indexed keywords

CLADDING (COATING); LASER BEAMS; NEURAL NETWORKS; PROCESS CONTROL; RAPID PROTOTYPING; SURFACE TREATMENT;

LASER CLADDING;

LASER CHEMISTRY;

EID: 0036688530     PISSN: 1042346X     EISSN: None     Source Type: Journal    
DOI: 10.2351/1.1494079     Document Type: Article

References (23)

1. Process control of laser surface alloying
2. On-line surface treatment feasibility of industrial components by means of power laser
3. High-power laser beam cladding
4. A simple but realistic model for laser cladding
5. Continuous-wave Nd:Yag laser cladding modeling: A physical study of track creation during low-power processing
6. Concentration mode of the powder stream in coaxial laser cladding
7. Analytical model describing the relationship between laser power, beam velocity, and melt pool depth in the case of laser remelting, alloying, and dispersing
8. One-dimensional diffusion model for extended solid solution in laser cladding
9. Calculation of process parameters for laser alloying and cladding
10. 2 laser surface treatment
11. Dynamics models of laser surface alloying
12. Controlled laser surface alloying of ti6al4v with nitrogen
13. Laser surface treatment
14. Nonlinear black-box modeling in system identification: A unified overview
15. An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear system
16. Identification of nonlinear systems using the Wiener model
17. Identification of Wiener-type nonlinear systems in a noisy environment
18. Multi-step-ahead prediction using dynamic recurrent neural networks
19. Training recurrent neural networks: Why and how? an illustration in dynamical process modeling
20. Noisy recurrent neural networks: The continuous-time case